Students must complete a minimum of 23-25 units, as follows: Students with undergraduate degrees in physics, mathematics, or related sciences, as well as in various branches of engineering, are invited to apply for admission. Minimum 60 units comprised of: Engineering Fundamentals (minimum 10 units), Core Electrical Engineering Courses (minimum 16 units) Disciplinary Area (minimum 17 units), Electives (maximum 17 units, restrictions apply). The world is increasingly based on wireless communication. Waveguide technologies: glass, silicon, III-V semiconductor, metallic. Addressing the energy challenges of today and the environmental challenges of the future will require efficient energy conversion techniques. EE 364A: Convex Optimization I (cross-listed with CME 364A). The underpinnings of modern technology are the transistor (circuits), the capacitor (memory), and the solar cell (energy). EE 263. Physical principles of operation of the p-n junction, heterojunction, metal semiconductor contact, bipolar junction transistor, MOS capacitor, MOS and junction field-effect transistors, and related optoelectronic devices such as CCDs, solar cells, LEDs, and detectors. All students and faculty in the Department are welcome to attend. Kramers-Kronig relations. EE 292A. Design of advanced analog circuits at the system level, including switching power converters, amplitude-stabilized and frequency-stabilized oscillators, voltage references and regulators, power amplifiers and buffers, sample-and-hold circuits, and application-specific op-amp compensation. Transverse and longitudinal mode control and tuning. What are future device structures and materials to maintain progress in integrated electronics? Methods for synchronizing clocks across a large data center and using this to reconstruct the fine details of network performance (queue-depths, link utilizations and buffer and link compositions) in near real-time will be presented. This year's focus on evolving cloud computing architectures and their impact on the enterprise; big data trends and rise of the third platform; software as a service; wireless and cellular network architectures; mobility and mobile data proliferation; open mobile platforms (e.g. EE 222. Students interested in this joint degree program must apply to and gain admission separately from the Department of Electrical Engineering and the School of Law, and as an additional step, secure consent from both academic units to pursue both degrees simultaneously. Final report required. The dissertation advisor must be a member of the Academic Council. Prerequisites: EE101A and EE108A. EE 292T. Electrical Engineering spans a diverse set of intellectual disciplines and applications. In this course, we will study the practical issues related to the practical design of power electronic converters. Topics covered include energy budgeting, communication, enclosure design, scalability, timing, circuit design, structural design, and safety. How can we make sound decisions based on partial and noisy information? Undergraduate students enroll in EE133 for 4 units and Graduate students enroll in EE233 for 3 units. For more information, see the Electrical Engineering Department Graduate Handbook (pdf). Formerly EE 108A. EE 378B. EE 133. Known as the Fourth Industrial Revolution, or Industry 4.0, this is a multi-trillion-dollar transformation of economy. Stanford Online offers learning opportunities via free online courses, online degrees, grad and professional certificates, e-learning, and open courses. Submit an application, including the thesis proposal, by Autumn Quarter of senior year signed by the thesis advisor and second reader (one must be a member of the Electrical Engineering faculty). Overview of integrated circuit technologies, circuit components, component variations and practical design paradigms. In this course, we will study the design of Resonant converters which are capable of operating at higher frequencies than their 'hard-switch' counterparts. Semiconductor Memory Devices and Circuit Design. 3 Units. Undergraduate students taking the lab should register for 4 units to meet the EE design requirement. Prerequisite: EE 108. Course may be repeated for credit. Applied linear algebra and linear dynamical systems with applications to circuits, signal processing, communications, and control systems. Wireless Communications. 1 Unit. Projects that provide immediate and positive impact on the world. The topics include: mathematical models for discrete-time signals, vector spaces, Fourier analysis, time-frequency analysis, Z-transforms and filters, signal classification and prediction, basic image processing, compressed sensing and deep learning. Completion of the undergraduate program in Electrical Engineering leads to the conferral of the Bachelor of Science in Electrical Engineering. Course prerequisites: EE 185A as well as CS107, CS107E or instructor approval. Integrating electronics with sensing, stimulation, and locomotion capabilities into the body will allow us to restore or enhance physiological functions. EE191A is part of the Accelerated Calculus for Engineers program. How are advanced VLSI devices designed and what future changes are likely? Principles of Robot Autonomy II. Writing in the Major (WIM) version of the 4-unit EE 267 theory + lab/project course. Formerly EE 152. By searching the title, publisher, or authors of guide you in reality want, you can discover them rapidly. Sample averages. Pre-requisites: None. Same as: CS 250. The 3-unit version requires a final programming assignment in which you create your own virtual environment. 4 Units. Resonant converter are found in high performance applications where high control bandwidth and high power density are required. The tools of information theory have also found applications in many other fields, including probability and statistics, computer science and physics. See the EE Graduate Handbook for more information about the joint degree programs. Prerequisite: 279 or instructor consent. 3 Units. EE 185A/B/C is a full-year sequence that teaches all of the concepts, knowledge, skills, and techniques to engineer all aspects of a smart object. Maintain a grade point average of at least 3.5 in Electrical Engineering courses. EE 116. Taught in the Stanford Nanofabrication Facility (SNF). EE Math. Prerequisites: CS106A or equivalent, CME 100 or equivalent (for linear algebra), CME 106 or equivalent (for probability theory), and AA 171/274. Practical aspects of IC fabrication including silicon wafer cleaning, photolithography, etching, oxidation, diffusion, ion implantation, chemical vapor deposition, physical sputtering, and electrical testing. Parallel Processors Beyond Multicore Processing. 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EE 100: The Electrical Engineering Profession Lectures/discussions on topics of importance to the electrical engineering professional. EE 279. Prerequisite: ENGR 40M, or an introductory EE or CS course in circuits or programming. Prerequisites: EE 102A or ENGR 40M. Similarly, methods for inferring available bandwidth in dynamic mobile networks and using it to drive different application optimizations will be presented. Prerequisite: EE 101A and EE 102A. Performance evaluation using computer-aided design tools. Students will learn to build successful products using fundamental concepts in Product Management. EE 23N. 3-4 Units. Recommended: MATH 19-21; PHYSICS 41, 43, 45. What is Nanotechnology?. Prerequisites: EE 284. and Master of Science (M.S.) Performance evaluation using computer-aided design tools. Ph.D. students are initially assigned a program advisor on the basis of the interests expressed in their application. Students need to declare honors on Axess. If you are impacted by this, please contact our office to request an extension: gradadmissions@stanford.edu. Formerly EE 278B. Nyquist and oversampling A/D and D/A converters. The first part of the course will cover reflection, refraction, resonators, photonic crystals, and waveguides. Expectation; mean, variance and covariance, linear MSE estimation. The course comprises of lectures and hands-on laboratory experiments. has not changed, and all courses, except for courses taken in Spring 2019-20, must be taken for a letter grade. EE 400. Stanford Engineering Everywhere (SEE) expands the Stanford experience to students and educators online and at no charge. Then we discuss two classic books that offer a glimpse of what nanotechnology is: Engines of Creation: The Coming Era of Nanotechnology by Eric Drexler, and Prey by Michael Crichton. Elements of probability, conditional probability, Bayes rule, independence. For further information, see the ". Design of high-performance digital systems, the things that cause them to fail, and how to avoid these problems. Course prerequisites: PHYSICS 43 (or equivalent) and ENGR 40M or instructor approval. Asymptotic behavior of wide neural networks. Prerequisites: Familiarity with probability theory and linear algebra at the undergraduate level. 3 Units. It can be taken on a stand alone basis or as a follow-up to CS 251. Such students may have graduated in any field and may hold either the B.S. Based on the success of class projects and subsequent needs, some students may be invited to continue in the winter term with a research appointment (for pay or credit) to operate the system you have built and instruct actors and creative professionals how to work with the system through rehearsals and the final performance before spring break. Recommended courses: EE223, EE228, EE311. Inequalities and limit theorems. Online game playing, gambling, no-regret learning. EE 15N. 3 Units. Undergraduate students should enroll for 5 units, and graduate students should enroll for 3 units. Optical properties of metallic nanostructures. Topics include: electronics (A/D, D/A converters, op-amps, filters, power devices); software program design, event-driven programming; hardware and DC stepper motors, solenoids, and robust sensing. Formerly EE 232. Topics: principles of integrated circuit fabrication processes, physical and chemical models for crystal growth, oxidation, ion implantation, etching, deposition, lithography, and back-end processing. This course introduces the basic mathematics required to formulate and answer these questions, as well as some of the principles and techniques in the design of modern information, communication, and decision-making systems. EE 347. First-order device models that reflect physical principles and are useful for integrated-circuit analysis and design. The Department of Electrical Engineering (EE) offers courses in the following areas: Biomedical Sensing and Imaging ; Communication Systems; Computer Hardware; Computer Software Systems; Control and System Engineering; Dynamic Systems and Optimization; Electronic Circuits; Electronic Devices, Sensors, and Technology; Fields, Waves, and Radioscience; Image Systems Multi-carrier modulation: orthogonal frequency-division multiplexing; capacity of parallel Gaussian channels; comparison of single- and multi-carrier techniques. Information theory forms the basis for the design of all modern day communication systems. Fundamentals of circuit simulation. Digital circuit, logic, and system design. In weekly labs students create software to form images using these techniques with actual data. now is stanford electrical engineering courses below. One additional 4-5 unit course from approved list in Undergraduate Handbook, Figure 4-2. Same as: CS 241. The second part of each lecture will consist of outside speakers, including founders of some of the most exciting companies in Silicon Valley, who will share their experiences about engineering design. Course Duration (Or Credits) For a complete list of those and other academic policies relating to the pandemic, see the "COVID-19 and Academic Continuity" section of this bulletin. 1-2 Unit. Medical Imaging Systems II. Engineering For Good: Contributing to Saving the World and Having Fun Doing It. This course will provide an advanced treatment of electromagnetic waves in free space and media. Analysis of existing and proposed systems in terms of resolution, frequency response, detection sensitivity, noise, and potential for improved diagnosis. 3 Units. EE 309A. The course will cover various aspects of semiconductor memories, including basic operation principles, device design considerations, device scaling, device fabrication, memory array architecture, and addressing and readout circuits. Note that University regulations prohibit students from being paid for the training while receiving academic credit for it. For each of these memories, the course will cover basic operation principles, device design considerations, device scaling, device fabrication, memory array architecture, and addressing and readout circuits. Functions of random variables. Mathematical models for random variables and random (noise) signals will be presented, which are used to characterize filtering and modulation of random noise. 4 Units. The second half of the course surveys system-on-a-chip architectures that efficiently realize highly interconnected networks and mixed analog-digital circuit designs that implement area and energy-efficient nonlinear units. EE 293. 3 Units. Areas: fault-tolerant systems, design for testability, production testing, and system reliability. 3-4 Units. Advanced Integrated Circuits Technology. Multidimensional time and frequency representations, generalization of Fourier transform methods to non-Cartesian coordinate systems, Hankel and Abel transforms, line integrals, impulses and sampling, reconstruction tomography, imaging radar. For WIM credit, students must enroll in EE 153 for 4 units. They are components that offer great design flexibility, provide electrical isolation and can reduce semiconductor stresses, but they often dominate the size and cost of a power converter and are notoriously difficult to miniaturize. Penalized estimators and minimumndescription length. Admission to a graduate program does not imply that the student is a candidate for the Ph.D. degree. Topics include: discrete-time random signals; sampling and multi-rate systems; oversampling and quantization in A-to-D conversion; properties of LTI systems; quantization in fixed-point implementations of filters; digital filter design; discrete Fourier Transform and FFT; spectrum analysis using the DFT; parametric signal modeling and adaptive filtering. Only after receiving department approval of the Application for Candidacy does the student become a candidate for the Ph.D. degree. Emphasis is on applications in modern devices and systems. Relations and applications to probability, statistics, machine learning, biological and artificial neural networks, genomics, quantum information, and blockchains. Data storage and analytics. Prerequisites: EE276 (Formerly EE376A). Introduction to circuit modeling and analysis. 1 Unit. Application domains, use case scenarios and value propositions. EE 116 introduces the physics of their operation, their historical origins (including Nobel prize breakthroughs), and how they can be optimized for future applications. Basic principles for endowing mobile autonomous robots with perception, planning, and decision-making capabilities. These techniques will then be used to design analog (AM and FM) and digital (PSK and FSK) communication systems and determine their performance over channels with noise and interference. 3 Units. Students are encouraged to talk with their doctoral program advisor, the Graduate Student Teaching Advisor, and the Degree Progress Officer from the student services office as they consider advisor selection, or for guidance in working with their advisor(s). Interactive Light Sculpture Project. EE 392K. Prerequisites: Undergraduate device physics, EE222, EE216, EE316. IEEE 802.11 physical layer specifications: FHSS, DSSS, IEEE 802.11b (CCK), and 802.11a/g (OFDM). No exceptions. The department expects undergraduate majors in the program to be able to demonstrate the following learning outcomes. EE 284A. The seminar will draw upon distinguished engineering speakers from both industry and academia who are involved at all levels of the technology stack and the applications that are now becoming possible. Same as: ENERGY 293. Image sampling and quantization color, point operations, segmentation, morphological image processing, linear image filtering and correlation, image transforms, eigenimages, multiresolution image processing, noise reduction and restoration, feature extraction and recognition tasks, image registration. The Electrical Engineering Department offers the following degrees: Bachelor of Science, Master of Science, and Doctor of Philosophy. All courses taken for the major must be taken for a letter grade if that option is offered by the instructor. Pre- or co-requisite: MATH 53 or CME 102. Prerequisites: EE364A or equivalent; Stat310A or equivalent. In 1948, Claude Shannon published a seminal paper formalizing our modern notion of information. The Stanford Electrical Engineering Graduate Certificate program provides you with a way to increase your knowledge and skills in electrical engineering either for career development or in preparation for graduate studies. Prerequisites: EE 142 or familiarity with electromagnetism and plane waves. EE 315. Curricular Practical Training for Electrical Engineers. EE 256. Undergraduate Handbook. Independent work under the direction of a faculty member given for a letter grade only.